How to source and screen Data Architect candidates

Title variants to search

Cover all 4 when searching boards and your own database.

• Data Architect
• Enterprise Data Architect
• Big Data Architect
• Cloud Data Architect

Starter Boolean search string

Paste into a job board or resume database, then add location and work authorization.

("Data Architect" OR "Enterprise Data Architect" OR "Big Data Architect" OR "Cloud Data Architect") AND ("Data modelling" AND "Data warehouse and lake design" AND "SQL at depth")

Google resume X-ray string

Replace City and ST with your target location.

(intitle:resume OR intitle:cv) ("Data Architect" OR "Enterprise Data Architect" OR "Big Data Architect" OR "Cloud Data Architect") ("Data modelling" OR "Data warehouse and lake design" OR "SQL at depth") ("City" OR "ST") -job -jobs -sample -template -hiring

LinkedIn Recruiter variant

Operators in uppercase; the NOT group removes junior and recruiter profiles.

("Data Architect" OR "Enterprise Data Architect" OR "Big Data Architect" OR "Cloud Data Architect") AND ("Data modelling" OR "Data warehouse and lake design" OR "SQL at depth") AND NOT (intern OR trainee OR recruiter)

Demand in the job feed

MatchWire's job feed (snapshot, November 1, 2026) holds 124 postings under these titles, and Full-time is the most common job type (53.2% of postings that state one). States with the most, counting only state and title pairs with at least 5 postings:

• New York: 18 postings
• Texas: 14 postings
• Virginia: 9 postings
• California: 7 postings
• Massachusetts: 7 postings

Must-have skills

For data architect roles, a candidate who cannot speak to these is rarely a fit.

• Data modelling (dimensional and relational)
• Data warehouse and lake design
• SQL at depth
• ETL and ELT patterns
• Data governance and quality

Nice-to-have skills

Rank candidates who already meet the must-haves.

• Snowflake, Databricks or BigQuery
• Streaming (Kafka)
• Master data management
• Metadata and lineage tools
• Cloud data services

Screening questions

Hands-on experience versus keyword matching.

• Which warehouse or lakehouse did you design and how large was it?
• How do you model slowly changing dimensions?
• How did you handle data quality problems at the source?

Before you run these strings

Test each string on a small result set first. Operator rules are in the Boolean search cheat sheet and the Dice Boolean search guide.

Where automation helps

MatchWire matches each new data architect posting to your consultants by rule and drafts a tailored resume for the matches you queue. Try the free match test.

Frequently asked questions